title: Analysis and classification of ultrasound medical images using the Local Binary Pattern operator.
abstract: This paper aims to present a classification and retrieval technique applied to ultrasound medical images, based on different variations of Local Binary Pattern (LBP) algorithm. Using this technique, a dedicated application builds an ultrasound image database, determining the optimum variation of LBP algorithm. These techniques can be applied to an image or to a group of images. Characterization is done through an array of values extracted by the algorithm. The application allows the characterization of an image, a set of images, determining the similarity between different images and the degree of belonging to a particular group. There are also presented several comparisons between existent variations of this algorithm, applied on the same set of ultrasound images.
authors.affiliation: Department of Medical Informatics, University of Medicine and Pharmacy "Victor Babes", Timisoara, Romania.
authors.forename: Oana Astrid
authors.initials: OA
authors.lastname: Vătămanu
authors.forename: Mihaela
authors.initials: M
authors.lastname: Ionescu
authors.forename: Gheorghe-Ioan
authors.initials: GI
authors.lastname: Mihalaş
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016015:Logistic Models; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014463:Ultrasonography / Q000379:methods*